The EMA(200), is considered by many technical analysis practioners to play a key role of support and resistance. I'm not certain if this is considered only for daily datasets, so that 200 is 200 days, or if it's so in general.
I've run a simmulation of 30 second data of EUR/USD spot data, and counting the number of major turning points that are in the vincinity of the EMA(200), then comparing to the number of major turning points in the vincinity of the EMA(200) for a Wiener process mimicking the EUR/USD spot price.
The dataset is from 29.11.2009 to 26.08.2010.
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and here are the results:
t.test(res.tot,res.tot.bm)
Welch Two Sample t-test
data: res.tot and res.tot.bm
t = 3.0632, df = 346.579, p-value = 0.002361
alternative hypothesis: true difference in means is not equal to 0
95 percent confidence interval:
0.1251721 0.5742814
sample estimates:
mean of x mean of y
1.508197 1.158470
edit:
res.tot(X) is the number of major turning points at the EMA line, and res.tot.bm(Y) is the number of major turning points at the EMA line.
It is significantly more major turning points to the EMA(200) level in the observed EURUSD price, than in a random process.
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